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Title: Models for predicting quality of building projects
Authors: Ling, F.Y.Y. 
Keywords: Building services
Quality management
Issue Date: 2005
Citation: Ling, F.Y.Y. (2005). Models for predicting quality of building projects. Engineering, Construction and Architectural Management 12 (1) : 6-20. ScholarBank@NUS Repository.
Abstract: Purpose - The objectives of this paper are to: find out whether design-bid-build (DBB) or design-build (DB) procurement method gives better quality building; identify variables that significantly affect quality scores of DBB and DB projects; and construct models to predict quality scores of DB and DBB projects. Design/methodology/approach - The research design was based on a structured questionnaire and data on quality performance and factors that may affect quality of a building project were collected by postal survey and face-to-face interviews. Findings - There was no significant difference between the quality scores of DB and DBB projects. To ensure that buildings procured through DBB have high quality, owners should adopt the following practices: engage experienced consultants; short-list bidders and select contractors based on a combination of price and ability. To obtain high quality DB buildings, owners should engage architects to prepare the scheme design and not to set the budget too early. For both types of projects, owners should allow contractors to propose changes to the contract with a view to improving its quality. Research limitations/implications - As there is no significant difference in quality of DBB and DB projects, the argument that DB projects produce lower quality buildings is demolished. Practical implications - The practical implication is that owners play an important part in ensuring that they obtain buildings of high quality. Originality/value - Building owners and consultants can use the two models to predict quality scores of DBB and DB projects and take specific actions to improve the quality of their projects if necessary.
Source Title: Engineering, Construction and Architectural Management
ISSN: 09699988
DOI: 10.1108/09699980510576862
Appears in Collections:Staff Publications

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